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A novel approach for determining the effectiveness of conservation practices in reducing nitrate losses.

Scientists developed a method to analyze PFAS in foods including chicken, pork, beef, catfish, and eggs.

ARS researchers worked with the produce industry to develop a food-safe, compostable adhesive formulation for price look-up labels on produce.

Researchers worked with the Quapaw tribe to create high-resolution digital maps of soil properties for their tribal lands.

ARS researchers in Albany, CA, are developing a new technology that could "freshen up" the frozen fruit and vegetable market. 

ARS-funded researchers in Little Rock, AR, studied how a mother’s physical activity during pregnancy could affect infant brain development.

ARS-funded research found a correlation between adequate brain level concentrations of vitamin K and better cognitive function.

ARS researchers studied whether different dietary patterns were linked to decision-making performance and stress exposure.

Hempseed cake was mixed into cattle feed for approximately 16 weeks and then meat products from the cattle were tested for CBD and THC levels.

Study finds ammonium nitrate had 34% lower yield compared to poultry litter treated with alum.

Pumping groundwater from local aquifers to irrigate crops has increased yields but is steadily reducing the supply of available water for future use.

Researchers used the Lawson Aerator to evaluate the effectiveness of a mechanical treatment to renovate rangelands.

An ARS research team along with the Southwest Climate Hub in Las Cruces, NM, developed a resource called The Water Adaptation Techniques Atlas.

ARS scientists have developed yellow bean varieties that contain more absorbable iron.

To support efficient water management, ARS researchers developed an open-source model, pyfao56, for precise crop water management.

ARS researchers developed an antibody against the most lethal variant of the Shiga toxin, called Stx2.

A team of researchers has combined satellite data with virtual fencing to turn ordinary livestock grazing into a powerful tool to reduce wildfire risk.

ARS scientists used artificial intelligence to develop image-based identification for five common stored grain insect species.